CrossRef Text and Data Mining
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Changing Disease Trends in the Northern Gyeonggi-do Province of South Korea from 2002 to 2013: A Big Data Study Using National Health Information Database Cohort
Young Soo Kim, Dong-Hee Lee, Hiun Suk Chae, Kyungdo Han
Osong Public Health Res Perspect. 2018;9(5):248-254.   Published online October 31, 2018
DOI: https://doi.org/10.24171/j.phrp.2018.9.5.06

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Changing Disease Trends in the Northern Gyeonggi-do Province of South Korea from 2002 to 2013: A Big Data Study Using National Health Information Database Cohort
Osong Public Health and Research Perspectives. 2018;9(5):248-254   Crossref logo
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Epidemiology and regional differences of acute poisonings of eight cities in Gyeonggi-do province in Korea using data from the National Emergency Department Information System of Korea
Clinical and Experimental Emergency Medicine. 2020;7(1):43-51   Crossref logo
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A population-based epidemiological study of anaphylaxis using national big data in Korea: trends in age-specific prevalence and epinephrine use in 2010–2014
Allergy, Asthma & Clinical Immunology. 2018;14(1):   Crossref logo
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Cancer screenee cohort study of the National Cancer Center in South Korea
Epidemiology and Health. 2014;36:e2014013   Crossref logo
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Social Demographic Characteristics and Direct Medical Costs For Patients With Parkinson’s Disease In Korea : Big Data Analysis From The National Health Insurance Claims Dataset
Value in Health. 2015;18(7):A751   Crossref logo
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Disparities in avoidable hospitalization by income in South Korea: data from the National Health Insurance cohort
European Journal of Public Health. 2018;29(2):225-231   Crossref logo
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Nanogenerators to Power Implantable Medical Systems
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Groundwater Potential Mapping Using Data Mining Models of Big Data Analysis in Goyang-si, South Korea
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Changing patterns of adult asthma incidence: results from the National Health Insurance Service–National Sample Cohort (NHIS-NSC) database in Korea
Scientific Reports. 2018;8(1):   Crossref logo
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The cumulative incidence and trends of rare diseases in South Korea: a nationwide study of the administrative data from the National Health Insurance Service database from 2011–2015
Orphanet Journal of Rare Diseases. 2019;14(1):   Crossref logo
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